CONDA finished however Mlfow abondoned :(

This commit is contained in:
Mikołaj Pokrywka 2022-05-22 23:45:49 +02:00
parent 8b99b7e9e9
commit 955d40d1d1
2 changed files with 207 additions and 3 deletions

View File

@ -13,7 +13,7 @@ import matplotlib.pyplot as plt
import sys
import mlflow
from mlflow.models import infer_signature
from urllib.parse import urlparse
mlflow.set_experiment("s444463x")
def convert_text_to_model_form(text):
@ -184,8 +184,14 @@ def train(epochs):
torch.save(model, 'model')
input_example = data_train[:5]
siganture = infer_signature(input_example, np.array(['company_profile']))
mlflow.pytorch.log_model(model, "modelML", signature=siganture, input_example=input_example)
mlflow.pytorch.save_model(model, "modelML", signature=siganture, input_example=input_example)
# path = urlparse(mlflow.get_tracking_uri()).scheme
# if path != "file":
# mlflow.pytorch.log_model(model, "modelML", signature=siganture, input_example=input_example)
# else:
# mlflow.pytorch.log_model(model, "modelML", signature=siganture, input_example=input_example)
# mlflow.pytorch.save_model(model, "modelML", signature=siganture, input_example=input_example)
print(sys.argv[1])

198
environment.yml Normal file
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@ -0,0 +1,198 @@
name: envDeepl
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_gnu
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- alsa-lib=1.2.3.2=h166bdaf_0
- appdirs=1.4.4=pyh9f0ad1d_0
- asn1crypto=1.5.1=pyhd8ed1ab_0
- attr=2.5.1=h166bdaf_0
- brotli=1.0.9=h166bdaf_7
- brotli-bin=1.0.9=h166bdaf_7
- brotlipy=0.7.0=py310h5764c6d_1004
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2022.5.18.1=ha878542_0
- certifi=2022.5.18.1=py310hff52083_0
- cffi=1.15.0=py310h0fdd8cc_0
- charset-normalizer=2.0.12=pyhd8ed1ab_0
- click=8.1.3=py310hff52083_0
- cloudpickle=2.1.0=pyhd8ed1ab_0
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- dbus=1.13.6=h5008d03_3
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- docker-pycreds=0.4.0=py_0
- docopt=0.6.2=py_1
- entrypoints=0.4=pyhd8ed1ab_0
- expat=2.4.8=h27087fc_0
- fftw=3.3.10=nompi_h77c792f_102
- flask=2.1.2=pyhd8ed1ab_1
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
- font-ttf-inconsolata=3.000=h77eed37_0
- font-ttf-source-code-pro=2.038=h77eed37_0
- font-ttf-ubuntu=0.83=hab24e00_0
- fontconfig=2.14.0=h8e229c2_0
- fonts-conda-ecosystem=1=0
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- gitpython=3.1.27=pyhd8ed1ab_0
- greenlet=1.1.2=py310hd8f1fbe_2
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- idna=3.3=pyhd8ed1ab_0
- importlib-metadata=4.11.3=py310hff52083_1
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- importlib_resources=5.7.1=pyhd8ed1ab_1
- intel-openmp=2022.0.1=h06a4308_3633
- itsdangerous=2.1.2=pyhd8ed1ab_0
- jack=1.9.18=hfd4fe87_1001
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- jinja2=3.1.2=pyhd8ed1ab_0
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- jpeg=9e=h166bdaf_1
- json-c=0.15=h98cffda_0
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- kaggle=1.5.12=pyhd8ed1ab_4
- keyutils=1.6.1=h166bdaf_0
- kiwisolver=1.4.2=py310hbf28c38_1
- krb5=1.19.3=h3790be6_0
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- lerc=3.0=h9c3ff4c_0
- libblas=3.9.0=14_linux64_mkl
- libbrotlicommon=1.0.9=h166bdaf_7
- libbrotlidec=1.0.9=h166bdaf_7
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- libevent=2.1.10=h9b69904_4
- libffi=3.4.2=h7f98852_5
- libflac=1.3.4=h27087fc_0
- libgcc-ng=12.1.0=h8d9b700_16
- libgfortran-ng=12.1.0=h69a702a_16
- libgfortran5=12.1.0=hdcd56e2_16
- libglib=2.70.2=h174f98d_4
- libgomp=12.1.0=h8d9b700_16
- libiconv=1.16=h516909a_0
- liblapack=3.9.0=14_linux64_mkl
- libllvm14=14.0.3=he0ac6c6_0
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- libopenblas=0.3.20=pthreads_h78a6416_0
- libopus=1.3.1=h7f98852_1
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- mkl=2022.0.1=h06a4308_117
- mlflow=1.26.0=py310ha13cd29_0
- munch=2.5.0=py_0
- munkres=1.1.4=pyh9f0ad1d_0
- mysql-common=8.0.29=haf5c9bc_1
- mysql-libs=8.0.29=h28c427c_1
- ncurses=6.3=h27087fc_1
- ninja=1.11.0=h924138e_0
- nspr=4.32=h9c3ff4c_1
- nss=3.77=h2350873_0
- numpy=1.22.3=py310h4ef5377_2
- openjpeg=2.4.0=hb52868f_1
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- pandas=1.4.2=py310h769672d_1
- pcre=8.45=h9c3ff4c_0
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- pthread-stubs=0.4=h36c2ea0_1001
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- pysocks=1.7.1=py310hff52083_5
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- python-slugify=6.1.2=pyhd8ed1ab_0
- python_abi=3.10=2_cp310
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- zstd=1.5.2=h8a70e8d_1
prefix: /home/mikolaj/miniconda3/envs/envDeepl